Convolution

Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection

Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Sleep Apnea (SA) is a prevalent sleep disorder with multifaceted etiologies that can have severe consequences for patients. Diagnosing SA traditionally relies on the in-laboratory polysomnogram (PSG), which records various… read more

BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs

BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Contractile response and calcium handling are central to understanding cardiac function and physiology, yet existing methods of analysis to quantify these metrics are often time-consuming, prone to mistakes, or… read more